Results 151 to 160 of about 36,511 (307)

Longitudinal multilevel modeling of physical activity during COVID19 social distancing and its relationship with resilience

open access: yesDiscover Public Health
This longitudinal study addressed the relationship between physical activity (PA) and resilience in individuals during home confinement due to the COVID-19 pandemic.
Alejandro Carriedo   +3 more
doaj   +1 more source

Polar‐low track prediction using machine‐learning methods

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang   +4 more
wiley   +1 more source

Bivariate postprocessing of wind vectors

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
We introduce three novel bivariate postprocessing approaches and analyze their performance for joint postprocessing of bivariate wind‐vector components in Germany. Bivariate vine‐copula‐based models, a bivariate gradient‐boosted version of ensemble model output statistics (EMOS), and a bivariate distributional regression network (DRN) are compared with
Ferdinand Buchner   +3 more
wiley   +1 more source

Variational Subdivision for Natural Cubic Splines

open access: yes, 1998
This paper explores the intrinsic link between natural cubic splines and subdivision. Natural cubic splines are defined via the variational problem of minimizing a simple approximation of bending energy. A subdivision scheme is derived which converges to
Joe Warren, Henrik Weimer
core  

Forecast‐Error Diagnostics in Neural Weather Models

open access: yesQuarterly Journal of the Royal Meteorological Society, EarlyView.
Deep learning weather prediction models enable efficient forecast‐error diagnostics through auto‐differentiation and low computational cost. We apply grid‐point relaxation and gradient‐based error sensitivity to identify key forecast‐error sources. Results show that medium‐range forecasts in the midlatitudes benefit most from relaxing the stratosphere ...
Uroš Perkan   +2 more
wiley   +1 more source

Using and interpreting restricted cubic splines [PDF]

open access: yes
Sometimes one wants to model the effect of a variable as a nonlinear smooth curve. A convenient choice for such a curve is a restricted cubic spline.
Maarten L. Buis
core  

Constructing Cubic Splines on the Sphere [PDF]

open access: yes, 2009
A method to approximate functions defined on a sphere using Tensor Product cubic B-splines is presented here. The method is based on decomposing the sphere into six identical patches obtained by radially projecting the six faces of a circumscribed cube
Hassan, Mosavverul
core  

Non‐Physical Barrier Design and Environmental Conditions Alter Routing and Survival of Juvenile Chinook Salmon (Oncorhynchus tshawytscha) in the Sacramento‐San Joaquin River Delta

open access: yesRiver Research and Applications, EarlyView.
ABSTRACT Pacific salmon face substantial challenges when migrating through anthropogenically modified river systems, such as the Sacramento‐San Joaquin River Delta (the Delta). Non‐physical behavioral barriers, such as the bioacoustic fish fence (BAFF), are one potential solution for guiding fish away from hazards without obstructing water flow ...
Maggie Raboin   +2 more
wiley   +1 more source

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